Data Science Programming Training Courses

1091 Ratings

Accelebrate's enterprise Data Science Programming training teaches attendees how to leverage Python and R, the 2 most popular open-source programming languages for data analysis, machine learning, deep learning, artificial intelligence, and natural language processing. Python is a multipurpose programming language with superb data science capabilities, whereas R is a specialized language for data analysis applications. Classes for either can be tailored to incorporate your team's data and delivered online or at your site. In addition, we offer training on Julia and MATLAB, both used for machine learning, data analytics, and data visualization.



Find out how to interpret results from a machine learning algorithm with our guide to Interpreting Linear Regression Results.

What's the difference between Python and R Programming? Find out in our webinar recording:

Fanning the Flames, An Unfair Comparison of Python and R in Data Science

In this one-hour webinar, Data Scientist and trainer Dr. Ra Inta begins with a brief background on how R and Python originated and a post hoc justification for how they each became so widely adopted in their respective niches. Ra then explores the stark and striking differences between Python and R, providing clues as to how to clean and manipulate the dataset so that we can feed it to a statistical model.

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